AVP - Data Scientist (Quantitative Analytics)

Barclays • Wilmington, DE

3d • Onsite

About The Position

The purpose of the role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. The Assistant Vice President (AVP) will advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness. This role involves leading a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. The AVP will set objectives, coach employees, appraise performance, and determine reward outcomes. For leadership responsibilities, People Leaders are expected to demonstrate clear leadership behaviors (Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others) to create an environment for colleagues to thrive. For an individual contributor, they will lead collaborative assignments, guide team members, identify the need for other specializations, and identify new directions for assignments/projects. They will consult on complex issues, provide advice to People Leaders, identify ways to mitigate risk, develop new policies/procedures, and take ownership for managing risk and strengthening controls. The role requires understanding how different areas coordinate and contribute to organizational objectives, collaborating with business-aligned support areas to stay updated on business activity and strategy. This involves complex analysis of data from multiple internal and external sources, creative problem-solving, and communicating complex information effectively to influence stakeholders. All colleagues are expected to demonstrate Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and the Barclays Mindset (Empower, Challenge, Drive). This specific role focuses on shaping the future of financial crime prevention by using analytical strengths to build solutions that protect customers and strengthen controls. The AVP - Data Scientist will help design and deliver machine learning solutions to enhance the ability to detect financial crime, prevent fraud, and safeguard customers. Working within an established model development team and in close partnership with business stakeholders and engineers, the focus will be on developing robust, intuitive machine learning models supported by scalable, production-ready code and comprehensive monitoring and controls. The role contributes across the full model lifecycle—from initial concept and data exploration through to supporting deployment—while maintaining rigorous documentation and governance standards in a regulated environment. This role is well-suited to professionals with validated experience in model development who want to apply advanced analytical techniques to real-world fraud and financial crime complexities.

Requirements

• Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries.
• Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark).
• Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking.
• Responsibility for model lifecycle processes, from inception through development, deployment, and on-going maintenance.
• An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment.

Nice To Haves

• Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning.
• Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams.

Responsibilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
• Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
• Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
• Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information.
• Influence or convince stakeholders to achieve outcomes.
• Design and deliver machine learning solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard customers.
• Develop robust, intuitive machine learning models supported by scalable, production ready code and comprehensive monitoring and controls.
• Contribute across the full model lifecycle—from initial concept and data exploration through to supporting deployment—while maintaining the rigorous documentation and governance standards expected in a regulated environment.

Benefits

• Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.
• Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful.
• They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed